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Oznake: computer science;optimization methods;stochastic optimization
We develop an online variational Bayes (VB) algorithm for Latent Dirichlet Allocation (LDA). Online LDA is based on online stochastic optimization with a natural gradient step, which we show converges to a local optimum of the VB objective function. It can handily analyze massive document collection ...
Leto: 2010 Vir: videolectures.net
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Oznake: computer science;machine learning;graphical models;kernel methods
Variational methods are widely used for approximate posterior inference. However, their use is typically limited to families of distributions that enjoy particular conjugacy properties. To circumvent this limitation, we propose a family of variational approximations inspired by nonparametric kernel ...
Leto: 2012 Vir: videolectures.net
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Oznake: computer science;machine learning;computational learning theory
Leto: 2010 Vir: videolectures.net
Št. zadetkov: 3
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